Chang Wang

Chang Wang Email and Phone Number

Healthcare Student Consultant @ CHEPS | Lean Six Sigma, Process Improvement
Chang Wang's Location
Seattle, Washington, United States, United States
About Chang Wang

I am an Engineering Student Consultant at the Center for Healthcare Engineering and Patient Safety (CHEPS) and a Master of Engineering student at the University of Michigan, specializing in Industrial Engineering. My core competencies include data analysis, simulation, optimization, and data visualization.At CHEPS, I work with a multidisciplinary team of healthcare professionals, engineers, and researchers to improve patient outcomes, access, and efficiency. I conduct simulations of patient scheduling in Python to identify bottlenecks and enhance comprehension of new patient access dynamics. I also shadow healthcare professionals in Primary Care to optimize their workflows and processes. I am passionate about applying my analytical skills and domain knowledge to solve real-world problems in healthcare. I value collaboration, innovation, and learning, and I strive to bring diverse perspectives and experiences to the team.

Chang Wang's Current Company Details

Healthcare Student Consultant @ CHEPS | Lean Six Sigma, Process Improvement
Chang Wang Work Experience Details
  • Center For Healthcare Engineering & Patient Safety (Cheps)
    Engineering Consultant
    Center For Healthcare Engineering & Patient Safety (Cheps) Jan 2024 - May 2024
    Ann Arbor, Michigan, United States
    •Conduct simulations of patient scheduling in Python to enhance comprehension of new patient access dynamics and identify bottlenecks causing extended wait times.•Shadow healthcare professionals in Primary Care, including MDs and LPNs, to identify optimization potentials in current workflows.
  • Coupa Software
    Supply Chain Analyst Assistant
    Coupa Software Jan 2024 - May 2024
    Ann Arbor, Michigan, United States
    • Conducted comprehensive exploratory data analysis and feature engineering on over 200,000 datasets and 244 variables.• Investigated various machine learning strategies and developed a weighted local modeling approach to enhance the accuracy of Mixed-Integer Programming (MIP) model run-time predictions.
  • Sinovac Biotech Ltd.
    Supply Chain Analyst
    Sinovac Biotech Ltd. Jun 2023 - Aug 2023
    Beijing, China
    • Saved ~8hrs/mo of repetitive workload by simplifying, automating, and visualizing inventory turnover rate analysis in Python. Uncovered and resolved a fundamental QC operational issue and increased throughput by 25.77%. • Restored 15.62% of wasted warehouse capacity by identifying slow-moving inventory and engaging multiple departments.• Implemented the system lifecycle V model to develop a validation plan with QA for AGV in warehouses.• Scheduled optimal procurement plans on SAP based on production and QC inspection schedules with limited inventory capacity.
  • Industrial And Systems Engineering, Lehigh University
    Research Assistant
    Industrial And Systems Engineering, Lehigh University Sep 2022 - Dec 2022
    Bethlehem, Pennsylvania, United States
    • Implemented an Integer Programming Model for hospital resident rotation scheduling in Python to satisfy both residents’ and departments’ preferences to promote fair and balanced assignments.• Proactively identified customer pain points with the existing outdated setup and developed a modern full-stack web interface with Flask, Jinja2, and SQLite to help residents interact with the model more intuitively and naturally.
  • Dida Chuxing
    Process Improvement Intern
    Dida Chuxing Apr 2021 - Jul 2021
    Beijing, China
    • Leveraged AI chatbots to improve the accuracy of automated responses to business-related questions on the online customer support platform, which increased the first-call resolution rate and matching rate by 15% for 20+ questions.• Categorized the most prevailing causes of miscommunication between carpooling drivers and riders and collaborated with corresponding departments to formulate improvement plans.• Conducted a Root Cause Analysis to identify breakdowns in communication between carpool driver and passenger, resulting in a 40% decrease in missed pickups and delays, enhancing customer satisfaction and loyalty.

Chang Wang Education Details

Frequently Asked Questions about Chang Wang

What is Chang Wang's role at the current company?

Chang Wang's current role is Healthcare Student Consultant @ CHEPS | Lean Six Sigma, Process Improvement.

What schools did Chang Wang attend?

Chang Wang attended University Of Michigan, Lehigh University.

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